International Workshop on Mining and Learning in the Legal Domain (MLLD 2020)

The International Workshop on Mining and Learning in the Legal Domain (MLLD 2020) will be co-located with ICDM-2020 to be held on November 17-20, 2020, Sorrento, Italy.

Call For Papers


The increasing accessibility of large legal corpora and databases create opportunities to develop data driven techniques as well as more advanced tools that can facilitate multiple tasks of researchers and practitioners in the legal domain. While recent advancements in the areas of data mining and machine learning have gained many applications in domains such as biomedical, healthcare and finance, there is still a noticeable gap in how much the state-of-the-art techniques are being incorporated in the legal domain. Achieving this goal entails building a multi-disciplinary community that can benefit from the competencies of both law and computer science experts. The goal of this workshop is to bring the researchers and practitioners of both disciplines together and provide an opportunity to share the latest novel research findings and innovative approaches in employing data analytics and machine learning in the legal domain.


We encourage submissions on novel mining and learning based solutions in various aspects of analyzing legal data such as Legislations, litigations, court cases, contracts, patents, Non-Disclosure Agreements (NDAs) and Bylaws. Topics of interest include, but are not limited to:

Applications of data mining techniques in the legal domain
case outcome prediction
classifying, clustering and identifying anomalies in big corpora of legal records
legal analytics
citation analysis for case law
Applications of natural language processing and machine learning techniques for legal textual data
information extraction and entity extraction/resolution for legal document reviews
information retrieval and question answering in applications such as identifying relevant case law
summarization of legal documents
legal language modelling and legal document embedding and representation
recommender systems for legal applications
topic modelling in large amounts of legal documents
harnessing of deep learning approaches
Ethical issues in mining legal data
privacy and GDPR in legal analytics
bias in the applications of data mining
transparency in legal data mining
Training data for legal domain
digital lawyers and legal machines
smart contracts
future of law practice in the age of AI
Emerging topics in the intersection of data mining and law
acquisition, representation, indexing, storage, and management of legal data
automatic annotation and learning with human in the loop
data augmentation techniques for legal data
semi-supervised learning, domain adaptation, distant supervision and transfer learning


You are invited to submit your original research and application papers to the workshop. As per ICDM instructions, papers are limited to a maximum of 8 pages, and must follow the IEEE ICDM format requirements. All accepted workshop papers will be published in the formal proceedings by the IEEE Computer Society Press. Each paper is reviewed by at least 3 reviewers from the program committee. Paper review is triple-blind. Manuscripts are to be submitted through CyberChair. More information about the workshop is available [here].

Important Dates:

Paper submission due date: August 24, 2020
Notification of acceptance: September 17, 2020
Camera ready submission: September 24, 2020
MLLD -2020 Workshop: November 17, 2020

Organizing Committee:

Shohreh Shaghaghian, Center for AI and Cognitive Computing at Thomson Reuters
Masoud Makrechi, OntarioTech University and Center for AI and Cognitive Computing at Thomson Reuters

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